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Issue 10, 2010
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Evaluation of automated streamwater sampling during storm events for total mercury analysis

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Abstract

Understanding the processes by which mercury is mobilized from soil to stream is currently limited by a lack of observations during high-flow events, when the majority of this transport occurs. An automated technique to collect stream water for unfiltered total mercury (HgT) analysis was systematically evaluated in a series of laboratory experiments. Potential sources of error investigated were 1) carry-over effects associated with sequential sampling, 2) deposition of HgT into empty bottles prior to sampling, and 3) deposition to or evasion from samples prior to retrieval. Contamination from carry-over effects was minimal (<2%) and HgT deposition to open bottles was negligible. Potentially greater errors are associated with evasive losses of HgT from uncapped samples, with higher temperatures leading to greater evasion. These evasive losses were found to take place primarily within the first eight hours. HgT associated with particulate material is much less prone to evasion than HgT in dissolved form. A field test conducted during a high-flow event confirmed unfiltered HgT concentrations sampled with an automated system were comparable to those taken manually, as the mean absolute difference between automated and manual samples (10%) was similar to the mean difference between duplicate grab samples (9%). Results from this study have demonstrated that a standard automated sampler, retrofitted with appropriately cleaned fluoropolymer tubing and glass bottles, can effectively be used for collection of streamwater during high-flow events for low-level mercury analysis.

Graphical abstract: Evaluation of automated streamwater sampling during storm events for total mercury analysis

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Publication details

The article was received on 21 Apr 2010, accepted on 17 Aug 2010 and first published on 16 Sep 2010


Article type: Paper
DOI: 10.1039/C0EM00129E
Citation: J. Environ. Monit., 2010,12, 1833-1839
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    Evaluation of automated streamwater sampling during storm events for total mercury analysis

    A. L. Riscassi, A. D. Converse, K. J. Hokanson and T. M. Scanlon, J. Environ. Monit., 2010, 12, 1833
    DOI: 10.1039/C0EM00129E

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